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embedding-condensation

Measure layer-wise token embedding cosine similarity, assessing the severity of embedding condensation. Concept from [ICML 2026] Dispersion loss counteracts embedding condensation and improves generalization in small language models.

embedding-condensation has been downloaded 5,057 times in total on PyPI, including 945 in the last 30 days. The latest version is 2.0, released May 17, 2026.

Version2.0
Downloads
5.06k
LicenseNon-Commercial License — see ../LICENSE.md in the LM-Dispersion repository.
AuthorChen Liu
UpdatedMay 17, 2026
Source →PyPI →

Downloads

Weekly, last 90d.
Includes CI traffic.

VersionsTotal2.*1.*
Range
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Granularity
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CI traffic
Stack: OffCI: Included3 / 5 series
Selected total9.26k
5.1kAll-time
945Last 30 days
46Last 24 h
<0.01/sPer second

Version distribution

Share of downloads by released version. Computed over the last quarter.

  • 01

    2.0

    1.9k downloads
    38.3%
  • 02

    1.1

    1.3k downloads
    26.1%
  • 03

    1.0.0

    947 downloads
    18.7%
  • 04

    0.1.0

    856 downloads
    16.9%

Guess the next day

Thirteen recent days of embedding-condensation downloads. Drag the green handle on the right to guess where day fourteen lands.

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